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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Nonlinear Optical Characterization of Membrane Protein Microcrystals and Nanocrystals.
|
|---|---|
| Chapter number | 7 |
| Book title |
The Next Generation in Membrane Protein Structure Determination
|
| Published in |
Advances in experimental medicine and biology, August 2016
|
| DOI | 10.1007/978-3-319-35072-1_7 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-935070-7, 978-3-31-935072-1
|
| Authors |
Justin A. Newman, Garth J. Simpson |
| Editors |
Isabel Moraes |
| Abstract |
Nonlinear optical methods such as second harmonic generation (SHG) and two-photon excited UV fluorescence (TPE-UVF) imaging are promising approaches to address bottlenecks in the membrane protein structure determination pipeline. The general principles of SHG and TPE-UVF are discussed here along with instrument design considerations. Comparisons to conventional methods in high throughput crystallization condition screening and crystal quality assessment prior to X-ray diffraction are also discussed. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 33% |
| Student > Bachelor | 1 | 17% |
| Student > Ph. D. Student | 1 | 17% |
| Unknown | 2 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Neuroscience | 1 | 17% |
| Chemistry | 1 | 17% |
| Medicine and Dentistry | 1 | 17% |
| Unknown | 2 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 February 2017.
All research outputs
#15,381,871
of 22,884,315 outputs
Outputs from Advances in experimental medicine and biology
#2,507
of 4,952 outputs
Outputs of similar age
#217,914
of 341,481 outputs
Outputs of similar age from Advances in experimental medicine and biology
#30
of 77 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,952 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 341,481 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.